CIS 9665
Applied Natural Language Proce · 3 credits · Spring 2027
Requirements
Prerequisite: CIS 9650 AND CIS/STA 9660
About this course
This course provides a survey of the concepts, challenges, and methodologies employed in Natural Language Processing (NLP) using real-world projects. The growth of unstructured data has been primarily driven by the textual data. Hence, understanding how to extract actionable insights ethically from text is critical for organizations. The course covers basic natural language processing techniques, document representation, text categorization and clustering, document summarization, sentiment analysis, and social media analysis, and other topics.
Seat status as of Oct 2, 10:36 AM ET. Seats can change between refreshes.
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